What's the coolest self-driven project you've worked on?

This page summarizes the projects mentioned and recommended in the original post on /r/datascience
jupyter-notebook Data Science Python27 bayesian-methods nltk-similarity

SurveyJS - Open-Source JSON Form Builder to Create Dynamic Forms Right in Your App
With SurveyJS form UI libraries, you can build and style forms in a fully-integrated drag & drop form builder, render them in your JS app, and store form submission data in any backend, inc. PHP, ASP.NET Core, and Node.js.
surveyjs.io
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InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
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  • Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

    aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

    • The motivation came entirely from reading the book Bayesian Methods for Hackers and deciding that I wanted to start a project based on probabilistic programming in PyMC3. I found an existing PyMC3 rugby model and decided to start by adapting that to the NHL.

  • NLP-Model-for-Corpus-Similarity

    A NLP algorithm I developed to determine the similarity or relation between two documents/Wikipedia articles. Inspired by the cosine similarity algorithm and built from WordNet.

  • SurveyJS

    Open-Source JSON Form Builder to Create Dynamic Forms Right in Your App. With SurveyJS form UI libraries, you can build and style forms in a fully-integrated drag & drop form builder, render them in your JS app, and store form submission data in any backend, inc. PHP, ASP.NET Core, and Node.js.

    SurveyJS logo

  • dtale

    Visualizer for pandas data structures

    • My own pandas visualizer, its up to 2100 stars now: https://github.com/man-group/dtale

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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